49 Clinical Trials for Various Conditions
The goal of this study is to learn more about how exercise might lower the risk of developing breast cancer in women with dense breast tissue by studying changes that occur in breast tissue and blood as a result of participating in an exercise program. The names of the study groups in this study are: * Exercise Training Group * Waitlist Control Group
To create a registry (database) of participants who come in for breast MRI scans. Researchers want to use this information to study if participants with dense breast tissue (tissue that is more difficult to see on mammogram).
The goal of this study is to increase MRI utilization among women with extremely dense breasts. The main question it seeks to answer is whether nudging of the provider, patient, or both increases the uptake of MRI among this group, and whether this effect differs between Black and White women.
To learn whether a new imaging technology, Contrast-Enhanced Mammography (CEM), compared to standard mammography, can better detect breast cancers in women with dense breasts
The over-arching goal of the Contrast-Enhanced Spectral Mammography Imaging Screening Trial (CMIST) is to determine if dual-energy contrast-enhanced spectral mammography (CESM) can detect more cancers with fewer false positives than digital breast tomosynthesis (DBT) in women with dense breasts. Aim 1: To evaluate the performance of CESM compared to DBT at baseline for breast-cancer screening in women with dense breasts. Aim 2: To evaluate the performance of CESM compared to DBT at the 1-year follow up for breast-cancer screening in women with dense breasts.
Investigation of a tear-based, lab-developed biological test for breast cancer, as a supplemental tool to current screening recommendations for women with dense breast tissue will explore if a tear-based biological test can be used as a support tool in the breast cancer screening protocol for women with dense breast tissue. The test was designed and validated by Namida Lab, Inc., a high complexity Clinical Laboratory Improvement Amendments (CLIA) certified lab.
500 patients will be prospectively recruited to undergo a fast breast MRI examination. The women will be recruited for the study will meet the following criteria: 1. African American 2. negative DBT examination 11 months prior to recruitment 3. Heterogeneously and Extremely breast densities 4. clinically asymptomatic- no palpable masses, focal thickening or clinically significant discharge. Investigators will identify these patients EPIC database utilizing the date of their last mammogram. Interested patients may contact our research coordinators by the phone number provided in the recruitment materials. The study recruitment information will also be shared with referring physicians. Physicians may also directly refer patients to the study.
The purpose of this image acquisition study is to compare, in a Reader Study, the RI8 system used in conjunction with a conventional mammography to mammography alone, and to determine whether the addition of supplementary RI8 result will improve ROC area under the curve. The study is prospective, multi-center, sequential, control trial with the woman serving as her own control. Women determined to have heterogeneously or extremely dense breast based on her previous mammogram and are undergoing routine screening mammography at one of the clinical sites assigned for this study will be eligible to join the study.
This study compares molecular breast imaging (MBI) and digital breast tomosynthesis (DBT) in screening patients with dense breast tissue. Breast imaging may help doctors find breast cancer sooner, when it may be easier to treat. Molecular breast imaging (MBI) uses an injection of a small amount of radioactive material that is taken up in tissues of the body that are actively changing, such as breast cancer. A specialized camera, called a gamma camera, takes pictures of the gamma rays emitted by this material. MBI may detect cancers that are not visible on mammograms. This study may help researchers determine how MBI testing compares to DBT screening.
A study to determine the efficacy of 8 mg/day (4 mg/breast) of BHR-700 gel compared to placebo for reducing breast tissue density in women identified as having dense breast tissue upon analysis of screening mammography. The Primary Study Endpoint being the percent reduction of mammographic breast tissue density on a follow-up mammogram compared to the baseline mammogram after 52 weeks of treatment.
This randomized phase II trial studies how well afimoxifene works in reducing the risk of breast cancer in women with mammographically dense breast. Estrogen can cause the growth of breast cancer cells. Hormone therapy using afimoxifene may fight breast cancer by blocking the use of estrogen by the tumor cells.
This randomized phase II trial studies how well abbreviated breast magnetic resonance imaging (MRI) and digital tomosynthesis mammography work in detecting cancer in women with dense breasts. Abbreviated breast MRI is a low cost procedure in which radio waves and a powerful magnet linked to a computer and used to create detailed pictures of the breast in less than 10 minutes. These pictures can show the difference between normal and diseased tissue. Digital tomosynthesis mammography is a procedure that uses multiple x-rays pictures of each breast to produce a 3-dimensional rendering of the entire breast. Combined screening with abbreviated breast MRI and digital tomosynthesis mammography may be a better method to screen women with dense breasts.
The OctavaPink test is indicated as an adjunct to mammography for breast cancer screening in asymptomatic women for whom screening or diagnostic mammography findings are normal or benign (BIRADS assessment category 1 or 2) and breast tissue is dense (BIRADS composition/density 3 or 4). The device is intended to increase breast cancer detection in the described patient population. Based upon the result of OctavaPink, the patient will be further evaluated by their physician.
This study is investigating whether automated whole breast ultrasound can improve detection of cancer in breast cancer screening when used as a supplement to mammography or as a supplement to digital breast tomosynthesis
A new test for breast cancer screening, molecular breast imaging (MBI) may be more sensitive than mammography for detecting breast cancer in women with dense breasts. The purpose of this study is to see if MBI using a low dose of gamma radiation can find cancers not seen on mammography. Hypotheses: 1. Low-Dose MBI has a significantly higher sensitivity and specificity and equal or higher positive predictive value than SM in women age 40 and older with mammographically dense breasts. 2. Low-dose MBI has comparable sensitivity and specificity to that previously achieved with MBI using a higher dose of radiation. 3. MBI produces a low false positive rate (specificity \>90%) that permits its use as a screening tool in this patient population.
Hypothesis: A higher sensitivity to breast cancer detection can be achieved in women with dense breast tissue by performing and reviewing results of Automated Breast Ultrasound (ABUS) and Digital X-Ray Mammography (XRM) together as part of routine screening compared to performing and reviewing results of XRM alone. Primary Objective: For the cohort of asymptomatic women who have dense breast tissue, calculate the sensitivity of Digital X-Ray Mammography (XRM) and ABUS together as a breast cancer screening modality and compare it to that of XRM alone. Secondary Objective: For the cohort of asymptomatic women who have dense breast tissue, evaluate the specificity of XRM and ABUS together compared to that of XRM alone; Calculate the negative predictive value (NPV) and positive predictive value (PPV) for XRM and ABUS. Endpoint: Breast cancers detected by radiologists in the clinical screening setting and confirmed by pathology. Study Design: This is a prospective matched-pair clinical study enrolling more than 20,000 women with parenchymal density \> 50% on digital x-ray mammography (XRM). Participants will receive ABUS as an adjunct to XRM. Any abnormal findings, from either XRM or ABUS, will receive appropriate management action consistent with accepted medical standards of care. All evaluation results, diagnosis and treatment outcomes will be recorded. Participants will be followed for one year and those who are not diagnosed with breast cancer at enrollment or during the follow-up interval must undergo an annual mammogram at study completion, the outcome of which will be recorded.
The purpose of this study is to compare 3D mammography with digital mammography in women with dense breasts for the detection and evaluation of masses and/or breast cancer.
We aim to compare the sensitivity of mammography to the sensitivity of Molecular Breast Imaging (a new gamma-camera based breast imaging technology) in women with dense breast tissue who are at increased risk for breast cancer.
Data supporting a role for RANKL signaling in mammographic density and breast cancer development has begun to emerge, but clinical trial data providing definitive evidence that would allow the adoption of RANKL inhibition in primary breast cancer prevention are not yet available. The hypothesis is that RANKL inhibition with denosumab will decrease mammographic density in high-risk premenopausal women with dense breasts. To address this, the investigators have developed this clinical trial to quantify the impact of RANKL inhibition on mammographic density in high-risk premenopausal women with dense breasts and to determine the effect of RANKL inhibition on markers of proliferation and biomarkers of breast cancer risk. Successful demonstration that RANKL inhibition reduces mammographic density could open up additional approaches to primary breast cancer prevention in high-risk premenopausal women, who do not have dominant genetic predisposition.
The investigators hypothesize that knowledge of the functional behavior of areas of mammographic density will enable more specific identification of dense tissue at-risk for breast cancer, ultimately providing predictive information on an individual's risk of developing breast cancer.
Increased mammographic density is recognized as an important risk factor for developing breast cancer, however, the underlying mechanism explaining this relationship is unclear. The investigators hypothesize that Molecular Breast Imaging (MBI) can more accurately distinguish dense tissue on mammography which is at high risk from dense tissue at low risk by indicating cellular activity in dense tissue as radiotracer uptake (functional density) in the breast. In this pilot study, the investigators want to compare the histological characteristics of breast tissue in patients with who have similar density on mammography but different levels of functional density on MBI.
The purpose of this multi-reader, multi-case (MRMC) reader study is to evaluate reader performance when SoftVue™ automated breast ultrasound and screening mammography are combined, compared to screening mammography alone, in women with dense breast parenchyma. This reader study will include up to 32 radiologist readers and a sample of 140 breast screening cases that were selected from the library of images collected under Delphinus Protocol #DMT-2015.001 (NCT03257839) Arm 1 Phase B. The reader study image case set will be enriched with cancer cases.
The purpose of this multi-reader, multi-case (MRMC) reader study is to evaluate reader performance when SoftVue™ automated breast ultrasound and screening mammography are combined, compared to screening mammography alone, in women with dense breast parenchyma. This reader study will include approximately 32 radiologist readers and a sample of approximately 200 breast screening cases to be selected from the library of images collected under Delphinus Protocol #DMT-2015.001 (NCT03257839) Arm 1 Phases B, C, and D. The reader study image case set will be enriched with cancer cases.
Researchers will compare the breath profiles of women with breast cancer and those without to determine whether there are disease-specific patterns that can be leveraged to facilitate breast cancer detection. Women with mammogram-confirmed dense breast tissues undergoing standard-of-care breast cancer screening will be invited to participate. Those who provide informed consent will provide one breath sample and fill out a questionnaire about their medical history with help from the research coordinators. Breath samples will be collected prior to standard of care biopsy or MRI, and patients will be stratified into the case or control group based on their test results. The primary goal of this project is to use exhaled alveolar breath and the subsequent spectral data produced by Breathe BioMedical's cavity ring-down spectrometer to further develop Breathe BioMedical's technology and machine learning algorithms to determine the feasibility of detecting breast cancer in women with dense breast tissue. Secondarily, this project aims to identify patterns of VOCs that are either over- or under-represented in participants with breast cancer when compared to the breath profiles of participants without breast cancer. This project will also assess performance characteristics of the technology (e.g. sensitivity, specificity, false negative rate, and false positive rate) including subgroup analyses. This project aims to understand intra-subject variability by exploring differences in breath signatures before and after definitive management of breast cancer, including surgical resection.
The purpose of this multi-reader, multi-case (MRMC) reader study is to evaluate reader performance when SoftVue™ automated breast ultrasound and screening mammography are combined, compared to screening mammography alone, in women with dense breast parenchyma. This includes obtaining information that can be used to properly plan, design, and power future ROC reader studies. This reader study will include a minimum of 6 radiologist readers and an enriched sample of at least 100 breast screening or diagnostic cases to be selected from the library of images collected under Delphinus Protocol #DMT-2015.001 (NCT03257839). The reader study image case set will be enriched with cancer cases.
Diffusion-weighted imaging (DWI) is a short (under 5 minutes) non-contrast MRI technique that has shown promise for the detection and characterization of breast cancer. Our preliminary data has shown that DWI holds potential for detecting mammographically and clinically-occult breast cancers. However, current technical limitations reduce the sensitivity of DWI for screening applications. The identification of a screening tool to complement mammography that is more accurate than ultrasound and faster, less expensive, and safer than conventional contrast-enhanced MRI would have significant clinical impact by improving the early detection of cancer in women with dense breasts. We hypothesize that an optimized DWI approach will enable detection of mammographically occult breast cancer in women with dense breasts with high sensitivity and low false positive rate.
The SoftVue™ is a whole breast ultrasound system with an automated scanning curvilinear ring-array transducer that employs UST. It is currently cleared under FDA 510(k) K123209 and K142517 for use as both a B-mode ultrasonic breast imaging system and color imaging of transmission data (sound speed and attenuation). SoftVue™ is not intended to be used as a replacement for screening mammography. SoftVue uses non-ionizing ultrasound energy to generate tomographic image volumes of the whole breast. While the patient lays prone on a padded table with one breast comfortably submerged in a bath of warm water, a ring-shaped transducer, 22 cm in diameter, encircles the breast and pulses low-frequency sound waves through the water and into the breast tissue. More than 2000 elements in the curvilinear transducer's 360 degree array emit and receive ultrasound signals to analyze echoes from the breast anatomy in all directions, from the chest wall to the nipple. Not only does SoftVue capture data from the reflection of the sound waves off of tissue boundaries and structures within the breast, but because the transducer surrounds the whole breast, SoftVue also captures signals that are transmitted through the breast. This additional transmission data enhances the visualization of the anatomic structure of the breast tissue and is not currently available in any other commercially marketed breast ultrasound device. This prospective, multicenter, multi-arm, clinical case collection program is IRB-approved and will be conducted in compliance with Good Clinical Practice, the Declaration of Helsinki and all applicable regulatory requirements. Arm 1 aims to collectively enroll up to 17,500 women at a total of up to 8 clinical sites. The design of this protocol is strictly limited to case collection; all investigational and statistical plans for future analyses will be prepared and registered separately, if they are applicable to the requirements of FDAAA 801. Arm 1 is limited to the cohort of asymptomatic women, with heterogeneously or extremely dense breast parenchyma (BI-RADS breast composition category c or d). Matched triads of 2D digital mammography (FFDM), 3D digital mammography (DBT), and SoftVue automated whole breast ultrasound (SV)exams, from the same patient, with demographic information and clinical outcome data, will be collected during the same screening imaging episode. Ultrasound characteristics for all types of lesions, whether they are benign or malignant, will be collected, as well as objective and subjective breast density composition data. The exams and clinical data accumulated in this prospective case collection (PCC) protocol will populate a database from which future investigations may be designed for peer reviewed publication, development of user training curriculums, building teaching case, and creating new marketing materials for SoftVue.A subset of exams will be sampled from Arm 1 for use in ROC Reader Study (protocol DMT-2015.002), which will be separately registered and is designed to evaluate the safety and efficacy of a new screening indication for use of SoftVue™ as an adjunct to screening mammography. The results of this ROC Reader Study will be submitted to the FDA for their consideration of a PMA application for SoftVue.
This is a feasibility study to evaluate dual-energy (DE) contrast-enhanced (CE) digital mammography to detect breast cancer in patients with increased breast density (BI-RADS category c or d). Eligible patients will be invited to have full-field digital mammography and dual-energy (DE) contrast-enhanced (CE) digital mammography to compare accuracy of the imaging methods for the detection of breast cancer.
The SoftVue™ is a whole breast ultrasound system with an automated scanning curvilinear ring-array transducer that employs UST. It is currently cleared under FDA 510(k) K123209 and K142517 for use as both a B-mode ultrasonic breast imaging system and color imaging of transmission data (sound speed and attenuation). SoftVue™ is not intended to be used as a replacement for screening mammography. SoftVue uses non-ionizing ultrasound energy to generate tomographic image volumes of the whole breast. While the patient lays prone on a padded table with one breast comfortably submerged in a bath of warm water, a ring-shaped transducer, 22 cm in diameter, encircles the breast and pulses low-frequency sound waves through the water and into the breast tissue. More than 2000 elements in the curvilinear transducer's 360 degree array emit and receive ultrasound signals to analyze echoes from the breast anatomy in all directions, from the chest wall to the nipple. Not only does SoftVue capture data from the reflection of the sound waves off of tissue boundaries and structures within the breast, but because the transducer surrounds the whole breast, SoftVue also captures signals that are transmitted through the breast. This additional transmission data enhances the visualization of the anatomic structure of the breast tissue and is not currently available in any other commercially marketed breast ultrasound device. This prospective, multicenter, multi-arm, clinical case collection program is IRB-approved and will be conducted in compliance with Good Clinical Practice, the Declaration of Helsinki and all applicable regulatory requirements. Arm 2 aims to collectively enroll up to 1,000 women at a total of up to 8 clinical sites. The design of Arm 2 in this protocol is strictly limited to case collection and is non-interventional; any investigational and/or statistical plans for future analyses will be prepared and registered separately, if they are applicable to the requirements of FDAAA 801. Arm 2 is limited to the cohort of diagnostic female patients of any breast density composition category, who have been recommended for a breast biopsy (BI-RADS 4 or 5) after diagnostic imaging, or who have confirmed imaging findings. Matched sets of diagnostic imaging and SV exams, from the same patient, demographic information, and clinical outcome data, will be collected during diagnostic workup. Ultrasound characteristics for all types of lesions, whether they are benign or malignant, will be collected as well as objective and subjective breast density composition data. Ultrasound image data may be acquired with modified SoftVue devices, which have passed safety and quality evaluations per Delphinus' quality management system (QMS) and satisfy design change control standards, at select clinical sites in accordance with 21 CFR 812.2 (b), as a routine part of feasibility, validation, and verification testing for engineering and product development purposes. The exams and clinical data accumulated in this prospective case collection (PCC) protocol will populate a database from which future investigations may be designed for peer reviewed publication, development of user training curricula, building teaching case, and creating new marketing materials for SoftVue.
The purpose of this research is to evaluate whether repeating a screening Molecular Breast Imaging (MBI) study two years after an initial screening MBI study further improves breast cancer detection in women with dense breast tissue.